Volume 21, Issue 11 pp. 1369-e90
Original Article

[¹²³I]FP-CIT SPECT (DaTSCAN) may be a useful tool to differentiate between Parkinson's disease and vascular or drug-induced parkinsonisms: a meta-analysis

F. Brigo

Corresponding Author

F. Brigo

Divisione di Neurologia, Ospedale ‘Franz Tappeiner’, Merano, Italy

Dipartimento di Scienze Neurologiche e del Movimento, Università di Verona, Verona, Italy

Correspondence: F. Brigo, Dipartimento di Scienze Neurologiche e del Movimento, Università di Verona, Piazzale L.A. Scuro, 10, 37134 Verona, Italy (tel.: +39 0458124174; fax: +39 0458124873; e-mail: [email protected]).Search for more papers by this author
A. Matinella

A. Matinella

Dipartimento di Scienze Neurologiche e del Movimento, Università di Verona, Verona, Italy

Search for more papers by this author
R. Erro

R. Erro

Dipartimento di Scienze Neurologiche e del Movimento, Università di Verona, Verona, Italy

Sobell Department of Motor Neuroscience and Movement Disorders, University College London (UCL) Institute of Neurology, London, UK

Search for more papers by this author
M. Tinazzi

M. Tinazzi

Dipartimento di Scienze Neurologiche e del Movimento, Università di Verona, Verona, Italy

Search for more papers by this author
First published: 30 April 2014
Citations: 66
See editorial by de la Fuente-Fernáandez and Löovblad on page 1351.

Abstract

Background and purpose

Differentiating idiopathic Parkinson's disease from secondary parkinsonian syndromes is crucial since their management and prognosis differ considerably. Functional imaging of the dopaminergic pathway by means of [¹²³I]FP-CIT SPECT (DaTSCAN) might be useful in this regard, but its role is still controversial. The accuracy of DaTSCAN in the differential diagnosis between Parkinson's disease and vascular or drug-induced parkinsonism was therefore systematically reviewed.

Methods

MEDLINE and CENTRAL were searched for studies aiming to determine accuracy measures (sensitivity, specificity, diagnostic odds ratio, positive and negative likelihood ratios) of DaTSCAN in differentiating between Parkinson's disease and vascular or drug-induced parkinsonism.

Results

Five studies were included. Pooled accuracy measures in differentiating between Parkinson's disease and vascular or drug-induced parkinsonism were relatively high, with sensitivity and specificity values above 85% and 80%, respectively.

Conclusions

DaTSCAN might accurately differentiate between early Parkinson's disease and secondary parkinsonian conditions, namely vascular or drug-induced, in patients with clinically unclear parkinsonism. However, all the studies reviewed here show several methodological limits, which prevent definitive conclusions on the role of DaTSCAN being drawn in this context. Further studies are needed to confirm our results and definitely evaluate the utility of DaTSCAN in differentiating between Parkinson's disease and vascular or drug-induced parkinsonism.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.